Data & Research · GitHub ·11 ★

zero-to-ai

Complete AI/ML curriculum: From Python basics to production systems. 800+ notebooks covering transformers, embeddings, RAG, vector DBs, MLOps, NLP, computer vision & more.

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Details

Author
PavanMudigonda
Category
Data & Research
Platform
GitHub
Framework
custom
Language
jupyter notebook
Stars
11
First indexed
2026-05-15
Last active
2026-04-13
Directory sync
2026-05-15
@PavanMudigonda

Overview

Complete AI/ML curriculum: From Python basics to production systems. 800+ notebooks covering transformers, embeddings, RAG, vector DBs, MLOps, NLP, computer vision & more.

Quick start

git

git clone https://github.com/PavanMudigonda/zero-to-ai

Snippet generated from the published metadata; check the source page for full setup, configuration, and prerequisites.

What zero-to-ai can do

promptdataragembeddingllm
  • Prompt — prompt task automation.
  • Data — Reads, transforms, and analyses structured data.
  • Rag — Retrieves grounded context before answering.
  • Embedding — Computes vector embeddings for semantic search.
  • Llm — llm task automation.

Frequently asked questions

What is zero-to-ai?
Complete AI/ML curriculum: From Python basics to production systems. 800+ notebooks covering transformers, embeddings, RAG, vector DBs, MLOps, NLP, computer vision & more.
How do I install zero-to-ai?
Use git: `git clone https://github.com/PavanMudigonda/zero-to-ai`. Full setup details on the source page linked above.
Is zero-to-ai open source?
zero-to-ai is published on GitHub.
What are alternatives to zero-to-ai?
Comparable agents include ragflow, autoresearch, OpenBB. Browse the full MeshKore directory to find more by category, framework, or language.

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Source & freshness

Profile data for zero-to-ai is sourced from GitHub, published by PavanMudigonda.

Last scraped: · First indexed:

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